David T. Hoffmann
5 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Core Methods
(2)
Domain-Specific
(2)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Core AI
(1)
Generation
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
contrastive learning
(3)
vision-language model
(2)
embedding space
(2)
transfer learning
(1)
computer vision
(1)
motion estimation
(1)
point cloud
(1)
3d vision
(1)
3d human pose estimation
(1)
unsupervised representation learning
(1)
compositional representation
(1)
modality gap
(1)
out-of-distribution detection
(1)
noise contrastive estimation
(1)
synthetic dataset
(1)
infonce loss
(1)
similarity ranking
(1)
attention pooling
(1)
scene flow estimation
(1)
image-based rendering
(1)
Papers
No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
CVPR 2026
Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation
CVPR 2025
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
ICLR 2025
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
AAAI 2022
AGORA: Avatars in Geography Optimized for Regression Analysis
CVPR 2021